Using machine learning to predict outcomes in psychosis\

被引:14
|
作者
Young, Jonathan [1 ]
Kempton, Matthew J. [1 ,2 ]
McGuire, Philip [2 ,3 ]
机构
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Neuroimaging, London SE5 8AF, England
[2] Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Psychosis Studies, London SE5 8AF, England
[3] South London & Maudsley NHS Fdn Trust, Mental Hlth Biomed Res Ctr, Natl Inst Hlth Res, London, England
来源
LANCET PSYCHIATRY | 2016年 / 3卷 / 10期
基金
英国医学研究理事会;
关键词
DEPRESSION; TRIAL;
D O I
10.1016/S2215-0366(16)30218-8
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
引用
收藏
页码:908 / 909
页数:2
相关论文
共 50 条
  • [11] Using ensemble of ensemble machine learning methods to predict outcomes of cardiac resynchronization
    Cai, Cheng
    Tafti, Ahmad P.
    Ngufor, Che
    Zhang, Pei
    Xiao, Peilin
    Dai, Mingyan
    Liu, Hongfang
    Noseworthy, Peter
    Chen, Minglong
    Friedman, Paul A.
    Cha, Yong-Mei
    [J]. JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2021, 32 (09) : 2504 - 2514
  • [12] Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients
    Shtar, Guy
    Rokach, Lior
    Shapira, Bracha
    Nissan, Ran
    Hershkovitz, Avital
    [J]. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2021, 102 (03): : 386 - 394
  • [13] Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting
    Li, Ben
    Eisenberg, Naomi
    Beaton, Derek
    Lee, Douglas S.
    Al-Omran, Leen
    Wijeysundera, Duminda N.
    Hussain, Mohamad A.
    Rotstein, Ori D.
    de Mestral, Charles
    Mamdani, Muhammad
    Roche-Nagle, Graham
    Al-Omran, Mohammed
    [J]. JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2024, 13 (17):
  • [14] Using Machine Learning and Candlestick Patterns to Predict the Outcomes of American Football Games
    Hsu, Yu-Chia
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (13):
  • [15] Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries
    Lu, Eileen
    Dubose, Joseph
    Venkatesan, Mythreye
    Wang, Zhiping Paul
    Starnes, Benjamin W.
    Saqib, Naveed U.
    Miller, Charles C.
    Azizzadeh, Ali
    Chou, Elizabeth L.
    [J]. JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2024, 97 (02): : 258 - 265
  • [16] The Early Psychosis Screener (EPS-SVM): A Practical Self-Report Tool Using Machine Learning to Predict Psychosis
    Brodey, Benjamin
    Girgis, Ragy
    Favorov, Oleg
    Bearden, Carrie
    Woods, Scott
    Addington, Jean
    Perkins, Diana
    Walker, Elaine
    Cornblatt, Barbara
    Brucato, Gary
    Purcell, Susan
    Cadenhead, Kristin
    [J]. EARLY INTERVENTION IN PSYCHIATRY, 2018, 12 : 89 - 89
  • [17] Machine Learning to Predict Prostate Artery Embolization Outcomes
    Vigneswaran, G.
    Doshi, N.
    Maclean, D.
    Bryant, T.
    Harris, M.
    Hacking, N.
    Farrahi, K.
    Niranjan, M.
    Modi, S.
    [J]. CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY, 2024, 47 (09) : 1248 - 1254
  • [18] Application of Machine Learning to Predict Hearing Outcomes of Tympanoplasty
    Koyama, Hajime
    Kashio, Akinori
    Uranaka, Tsukasa
    Matsumoto, Yu
    Yamasoba, Tatsuya
    [J]. LARYNGOSCOPE, 2023, 133 (09): : 2371 - 2378
  • [19] Machine Learning to Predict Outcomes in Repaired Tetralogy of Fallot
    Morrish, Andrew
    Ahmad, Mahmood
    [J]. JACC-CARDIOVASCULAR IMAGING, 2022, 15 (05) : 954 - 955
  • [20] Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations
    Eric Karl Oermann
    Alex Rubinsteyn
    Dale Ding
    Justin Mascitelli
    Robert M. Starke
    Joshua B. Bederson
    Hideyuki Kano
    L. Dade Lunsford
    Jason P. Sheehan
    Jeffrey Hammerbacher
    Douglas Kondziolka
    [J]. Scientific Reports, 6